Upgrading from advanced process control to AI process control

From the creator

Watch this episode with @ruthieyakubu and Jon Herlocker (@herlock), CEO of Tignis, on how the company provides a powerful AI solution to detect and identify anomalies in processes for manufacturers to expand their predictive maintenance coverage to reduce risks to plant or line reliability, enhance O&M team productivity, and improve plant performance. 👩‍💻 Hands-on learning Resources: Azure Anomaly Detector: https://aka.ms/TEAnomalyDetector Azure Machine Learning Services: https://aka.ms/TEBuildMachineLearning Deploying AI w/ Kubernetes: https://aka.ms/TEDeployKubernetes Building a Digital Twin: https://aka.ms/TEBuildDigitalTwin 📌Let's connect: Follow Ruth Yakubu: https://twitter.com/ruthieyakubu Follow Tech Exceptions: https://twitter.com/TechExceptions Follow Jon Herlocker: https://twitter.com/herlock Follow Tignis: https://twitter.com/tignisinc 🔔Subscribe to our channel for more AI and Data episodes and playlist: https://aka.ms/TECh9 💡 Checkout our other channels for move on AI/ML tips & tricks: https://aka.ms/MSAIShow

Published 2021-04-06 · Watch on YouTube ↗
Availability and playback restrictions are controlled by the original channel.